A greedy algorithm for supervised discretization.

Journal of biomedical informatics ·Vol. 37 ·No. 4 ·2004-08-00 ·Pages 285-92

Butterworth R, Simovici DA, Santos GS, Ohno-Machado L

Abstract

We present a greedy algorithm for supervised discretization using a metric defined on the space of partitions of a set of objects. This proposed technique is useful for preparing the data for classifiers that require nominal attributes. Experimental work on decision trees and naïve Bayes classifiers confirm the efficacy of the proposed algorithm.

MeSH Terms

Algorithms Artificial Intelligence Bayes Theorem Computational Biology/methods Models, Biological Models, Statistical Numerical Analysis, Computer-Assisted Signal Processing, Computer-Assisted

Authors & Affiliations

4 authors, click to expand affiliations / ORCID

Butterworth Richard

Department of Computer Science, University of Massachusetts at Boston, Boston, MA 02125, USA. [email protected] <[email protected]>

Simovici Dan A

Santos Gustavo S

Ohno-Machado Lucila

Article Info

Journal

Journal of biomedical informatics

Abbr.

J Biomed Inform

ISSN

1532-0464

DOI

10.1016/j.jbi.2004.07.006

[email protected]

Published

2004-08-00

Pages

285-92

Language

English

Region

United States

NLM ID

100970413

Subset

External Links

PubMed source DOI: 10.1016/j.jbi.2004.07.006 View journal details

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A greedy algorithm for supervised discretization.

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